Triple
T31542156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline Evers-Swindell |
E804773
|
entity |
| Predicate | isFemaleRowingChampion |
P171950
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Caroline Evers-Swindell, isFemaleRowingChampion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFemaleRowingChampion Context triple: [Caroline Evers-Swindell, isFemaleRowingChampion, true]
-
A.
conferenceWomen'sRowing
Indicates that an entity is associated with a collegiate athletic conference specifically for women’s rowing programs.
-
B.
isTwinRowingPartnerOf
Indicates that two individuals are twin siblings who row together as partners in a rowing team or boat.
-
C.
hasRowingSide
Indicates that an entity involved in rowing is associated with a specific side (e.g., port or starboard) on which it rows.
-
D.
ladiesSinglesBronzeMedalist
Indicates the relationship where an entity is the bronze medal winner in a ladies' singles competition event.
-
E.
olympicChampionIn
Indicates that an entity has won a championship title in a specified Olympic sport or event.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a956e9b08190bf83547bba8e8147 |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8036ab481908019f2f071fa406e |
completed | May 3, 2026, 1:42 a.m. |
Created at: April 30, 2026, 10:06 p.m.